Dedicated data contributor with extensive experience in high-quality video recording, annotation, and data labeling for AI and robotics projects. Skilled in adhering to strict guidelines and delivering reliable results.
Skilled in annotating diverse datasets including images, videos, and audio for AI applications.
Proficient in capturing high-quality POV and egocentric footage with smartphones and wearable devices.
Ensures accuracy and consistency in data collection, maintaining high standards for AI training datasets.
Strictly follows detailed instructions and protocols for data collection and submission processes.
Toloka (Yandex)
Completed high-volume data annotation and collection tasks including video recording, image labeling, and audio transcription.. Maintained a top-tier quality score by adhering to detailed task instructions and submission guidelines.. Recorded first-person POV video tasks involving everyday activities such as cooking, organizing, and desk work.
iMerit
Captured and labeled structured datasets for AI and computer vision model training.. Performed egocentric video recordings using mobile devices, ensuring hands and objects remained clearly visible.. Followed SOPs and submitted raw, unedited footage meeting strict quality benchmarks.
Atlas Capture
Recorded motion and activity data for AI-driven robotics and automation training pipelines.. Executed natural, repeatable daily-life scenarios on camera as per project specifications.. Maintained device setup and ensured data integrity throughout multi-session capture projects.
Human Motion Data
High School Diploma
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Self-motivated and dependable, capable of managing tasks independently in home and workspace environments.
Participated in structured human activity data collection projects supporting AI training.. Recorded POV video footage of physical tasks including lifting, cleaning, and object interaction.. Followed detailed onboarding guides with zero need for technical background.
DataValve
Tagged and verified data sets including video frames, bounding boxes, and activity classifications.. Ensured raw submissions met client specifications for humanoid robotics and AI R&D use cases.. Delivered consistent, high-accuracy work across multiple concurrent projects.